Data Analysis and Modelling on the Azure Platform

Data Analysis and Modelling on the Azure Platform workshop offers participants skills and knowledge to apply Azure’s machine learning techniques to train, evaluate, and deploy models that solve business problems.

CONTENT

Define and prepare the development environment

• Select development environment
• Set up development environment
• Quantify the business problem

Prepare data for modeling

• Transform data into usable datasets
• Perform Exploratory Data Analysis (EDA)
• Cleanse and transform data

Perform feature engineering

• Perform feature extraction
• Perform feature selection

Develop models

• Select an algorithmic approach
• Split datasets
• Identify data imbalances
• Train the model

TRAINING METHODOLOGY

The training methodology combines lectures, discussions, group exercises and illustrations. Participants will gain both theoretical and practical knowledge of the topics. The emphasis is on the practical application of the topics and as a result participant will go back to the workplace with both the ability and the confidence to apply the techniques learned to their duties.